University of Chicago Students to Protest at Chicago Mercantile Exchange, Demand End to Federal Ban on Onion Futures Student-led group For Our Futures will rally Monday morning to call for repeal of the 1958 Onion Futures Act On Monday, October 19, at 8:30 a.m., members of For Our Futures, a student-led organization from @UChicago, will gather outside the Chicago Mercantile Exchange (@CMEGroup) headquarters to demand the repeal of the Onion Futures Act of 1958, a nearly 70-year-old federal law prohibiting futures trading in onions. The Onion Futures Act, enacted following allegations of market manipulation in the 1950s, singled out onions for a prohibition on futures contracts that remains in effect today. For Our Futures is calling on Congress to repeal the ban and restore the ability of onion growers, buyers, and traders to participate in a regulated futures market. Onions remain the only commodity banned from futures trading in the United States. The protest will feature a giant inflatable onion costume, protest signs, and dozens of students, and will take place outside the headquarters of CME Group, one of the world's largest derivatives marketplaces and the historic center of American onion futures trading. DM for details cc: @pointsnfigures1 @CharlesFLehman @matt_levine @nbcchicago @ABC7Chicago @cbsnewschicago @WGNNews @fox32news @WBEZ @Suntimes @BlockClubCHI @chalkbeatCHI @SeanCasten @mansourtarek_

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bombshell report from the OCC out today confirming what we all suspected: between 2020 and 2025, based on a review of 100,000 complaints, America’s largest banks systematically denied banking to lawful businesses based on political and reputational considerations rather than objective financial risk, effectively appointing themselves arbiters of which industries deserved access to the financial system. digital assets was specifically named as one of the six most affected industries. TLDR: we weren't imagining it. OCP2.0 was real.

We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case). I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves. We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them: "/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started" I imagine we'll have some backend services that could be replaced entirely by this new architecture.

My weekend piece about how AI companies are going to "get sued up the wazoo" over rogue AI incidents, as one lawyer told me, but that the legal system is not designed to deal with the novel questions about liability. I spoke with Congressional staffers, legal experts, an AI insurance startup, and the public interest law group that sued OpenAI in California over Hugging Face to understand what happens next. Featuring @iampaulgrewal, @joellthayer, @bahradx, @RuneKvist, @TylerLASST and @LASST_law, and more